i mmd city
i mmd city Related Articles
All-new 2020 Honda City RS rocks some style in newest video!
A couple of weeks ago, Honda unveiled the all-new 2020 Honda City RS in Malaysia.
2020 Honda City RS previewed in Malaysia! Honda Sensing, LaneWatch, new i-MMD engine
RS i-MMD.
All-new 2021 Honda HR-V to make global debut on 18-Feb, to get i-MMD engines - more details here!
blacked-out roof.The two-tone colour scheme continues in the cabin with cream inserts (akin to our Honda City
All-new 2020 Honda City: Honda Sensing ADAS suite confirmed, 4 variants
Honda Malaysia has announced that the all-new Honda City RS i-MMD will be offered with Honda Sensing,
Launching in Malaysia, 2021 Honda City Hatchback – No more Jazz, but who cares?
Possible engine options include: Possible engine options 1.5-litre i-VTEC 1.5-litre
Deliveries of the 2021 Honda City RS to start this March
Amidst the launch of the Honda Connect, Honda Malaysia has also said that the long-awaited Honda City
Next-gen 2021 Honda HR-V rendered, mature looks could pair new i-MMD engine
seen in Japan.As for powertrain, the next model is highly anticipated to be powered with an 1.5-litre i-MMD
All-new GN-series 2020 Honda City – 8 features we get that Thailand doesn’t
doesn’t get.Rear disc brakesRear disc brakes will be returning on the all-new GN-series Honda City
Indonesia launches 2021 Honda City Hatchback, Malaysia to get same 1.5L engine
Ativas launch last night, our Indonesian neighbours also had a launch of their own: the 2021 Honda City
All-new Nissan Almera vs Honda City: How do they measure against each other?
Two of which are the all-new 2020 Nissan Almera and the 2020 Honda City B-segment sedans.
Here’s why the all-new 2020 Honda City RS with i-MMD doesn’t need a gearbox
two-motor i-MMD full hybrid engine.
Review: Driving the world's first 2020 Honda City RS with i-MMD in Malaysia
, the Honda City RS with i-MMD will be making its world debut in Malaysia.
Latest all-new 2020 Honda City ad fires shots at Vios, Camry, and Bezza!
facebook-jssdk)); As seen in the ad, Honda Malaysia has put a lot of emphasis into the all-new Honda City
Thailand's blue or Malaysia's red? Which do you prefer on the 2020 Honda City?
We previously reported that the Honda City e:HEV powered by the 1.5-litre i-MMD full hybrid petrol engine
Has the 2021 Honda City Hatchback already won the cool factor against the Yaris?
what’s good with the City Hatchback?
Honda CR-V PHEV unveiled: 2-motor i-MMD hybrid with 184 PS
to go on sale in January 2021, the Honda CR-V Sport Hybrid e+ is powered by Honda’s two-motor i-MMD
Close to 9,000 bookings in Malaysia for all-new 2020 Honda City! 2,400 already delivered
The all-new fifth-generation 2020 Honda City was only launched a month ago, but Honda Malaysia has announced
FAQ: Definitive guide about the all-new 2020 Honda City before its Malaysian launch!
i-MMD unit found in the JDM Honda Fit e:HEV.At least, thats what powering the RS.
11,100 bookings received for the all-new 2020 Honda City
its launch in October, Honda Malaysia has received over 11,100 bookings for the all-new 2020 Honda City
The Nissan Almera Turbo can do 650 km in one full tank, better than regular Honda City i-VTEC?
Don’t scoff yet, read on…Turbocharged powerAs you know, Nissan’s Honda City fighter
i mmd city Post Review
So I'm finally drawing my Boku no Hero Academia OC's Hero outfit so I can model it for MMD using my City of Heroes Character's outfit. lol XD Colors won't be the same though~. https://t.co/4ddxABBcMN
I tried to do something like the city of gonzres #MMD #MMM #巨大娘 #giantess #sizetwitter #レア #newcity https://t.co/yPCC4WUF5E
Gold City The Great City #ウマ娘 https://t.co/pquVfC2jEo
Hewwo guys hehe I present you my OC in mmd very big invading your city >w< What do you guys think? OwO https://t.co/Api67K2TRa
City now in MMD! I started this a year ago.. ToT https://t.co/YJSFmkhpET
I tried to download tda mmd models without background. SOOOO i found their mekaku city actor models, and I made THIS http://t.co/9MfRRX7Urf
I am using this fabric to make city masks for £2.50 minimum donation to the Darby Rimmer MMD foundation (Other masks order that aren’t city will still be donations of minimum of £1 donation). inbox if you would like to order thank you to everyone that has ordered or donated https://t.co/MPlzolWyMe
I have created three kinds of surfaces for MMD to use,Include mountains,deserts and coastal cities, hope you can enjoy it! https://t.co/C4I4nXOsXR password:amuse https://t.co/vZjpCJJ24c
POV: Holo lounging around with you over a tiny city. On an unrelated note, even though I've never been partial to them, this model is the only model I've seen with decent armpits. This will be my last post for a couple days. #SizeTwitter #MMD #giantcouple https://t.co/EF2IdjUQhe
I made a new Ninjala OC called Nikki! Hope you liked it! Yes, Eagle City MMD is out today! #Ninjala #MMD #3drender https://t.co/tRIohVNQpe
i mmd city Q&A Review
Why are electric vehicles not built with onboard power generation sufficient to keep batteries topped up?
There are actually some electric vehicles that do so. Range extender (vehicle) - Wikipedia 2 relatively popular examples are the BMW i3 (with range extender), and the latest version of the Chevrolet Volt. In these 2 cases, there is a small engine in the vehicle that powers a small generator to keep the battery topped up. Now why aren’t all electric vehicles this way? 2 reasons: Politics. The battery electric vehicle was designed in direct opposition to the ICE vehicle market. The marketed slogan was zero emissions vehicle, and putting an ICE engine inside, no matter how small, would “betray” that principle. As a result, range extended EVs, or PHEVs have only been built and sold by ICE car companies, as a compromise between electric vehicles and the range anxiety that most faced before Tesla introduced the first long range BEV. Serial hybrids are useful in only 1 circumstance: where the vast majority of travel does not require the use of the generator. Instead of running the generator to top up the batteries, the batteries are topped up by charging points between travel, and the generator is only used in the rare cases where distances far beyond what is normally expected have to be travelled. As an illustration, suppose we compare 2 hypothetical cars used in my context. I travel approximately 50–60km a day, normally broken into 2 stretches of 20–30km per trip. On the rare occasions (maybe once a quarter), I take my family up north to Melacca or Kuala Lumpur for a weekend trip. Car A has a 100km battery range and a small engine (50hp) to extend the range to about 400–500km. Car B has a 500km battery range. The best estimation we have for a battery pack plus its associated systems is approximately ,$250/kWh, (though Elon Musk’s later estimate puts it at closer to ,$500/kWh,). Using 0.2kWh/km estimate based on Tesla’s 500km range for the 100D, 100km range battery costs $5k, while the 500km ranged battery costs $25k. Even if we simply slap the 20kWh battery on a civic, the total cost would still be lower than just the battery on a 100D. On the other hand, the use case that I mentioned is rather specific to urban city dwellers. 80% of urban city dwellers live in apartments whose carpark do not belong to them. The chance of their carpark lot having a charging point is rather low, and there would not be much chance to charge from an outlet. So why not have an electric vehicle that is only charged by its onboard generator? Electric transmission is actually rather lossy compared to a mechanical transmission. While the main losses from a mechanical transmission is sound and heat from small amounts of ,hysteresis,. Electric transmission losses come from the alternator, the rectifier, the battery storage, the invertor, and finally the motor. This can lead to as much as 10–15% losses, compared to the 2–3% in a mechanical transmission. The advantages of electrical transmission is then applied to its ability to store electricity at slower speeds, when the gearing ratio is less efficient. At highway speeds, however, an overdrive geared mechanical transmission is significantly more efficient. To account for this, Honda’s hybrid ,i-MMD, runs largely as a serial hybrid, but then clutches in the engine at highway speeds. In fact, most hybrid cars that expect to use its engine relatively frequently allow for the engine to directly drive the wheels at highway speeds.
Who is Quaithe? What's her role in the books “A Song of Ice and Fire”? Why did the show not include her recurring visions after Daenerys left Quarth?
Quaithe appears to be a shadowbinder who has learnt her art in Asshai. She may or may not be from there. She lives in Qarth and appears first in the second book, A Clash of Kings. She appears with Pyat Pree, and Xaro to see Dany’s dragons and thus saves her from a desolate city, Vaes Tolorro. The show did not include her later on because many parts of her prophecies are cut from the show. ,Aegon, ,Moqorro, JonCon, Quentyn, the pale mare, glass candles, Marwyn and the perfumed senechal are non existent on the show. Her prophecies and riddles do not make sense if a few books worth of plot are missing. This was probably done to simplify content for the viewers and save time. As to who she is, this is the unknown. Anything you hear about her true identity on forums or quora is simply conjecture. There is no concrete evidence on who she is. Or that she is a Targaryen supporter. I don’t think being a ,Targaryen ,comes into it at the end of the day if Quaithe and others are helping Dany for a bigger purpose, i.e. Azor Ahai. There is no indication that she is helping Dany at all. She speaks in riddles. She does not convey a direct message when she easily can. She does not send visions or green dreams which are open to interpretation. She communicates directly via glass candles which is a form of magical skype on high speed internet. Quaithe warns Dany not to trust any of the characters she has mentioned. That is a bit far fetched. As some of them are truly looking to aid Dany and get her home. To what she wants. The throne. Or the ultimate war against the Others. I think Quaithe is connected with Marwyn and Urrathon Nightwalker who both have glass candles. All 3 seem to be quite competent with magic and magic is never ,good ,in ASOIAF. Dark acts and deeds are performed to excel in magic. These 3 characters perhaps have communicated with each other and have a specific purpose. It is not necessarily to aid Dany. Quaithe is fluent in the common tongue of Westeros which means she either learnt it from a Westerosi, or has been there. MMD learnt some of her techniques from Marwyn who has been to Asshai previously. Perhaps, Marwyn and Quaithe met in Asshai too. MMD and her shadowbinding ways were not to aid Dany. I don’t think Quaithe or Marwyn will truly aid her either.
After rewatching Legend of Korra, what are your thoughts?
Well, I just finished Season 1. And it was a little more empty than I remembered. A positive thing is that I don’t blame Korra as much of the show’s fault then I once did, her character is actually pretty solid so far, deus-ex machina ending and love triangle aside. But as I watched the entire first season again, my first reaction was, That basically sums up all the problems with Season 1 Korra. ,There was not nearly enough time or episodes to develop the ideas and characters of LOK, that is including Korra herself. ,Personally, Season 1 is my favorite purely on the ideas that BK and MMD decided to implement. We finally get to see Korra learn how to air-bend, We get to see this new NY-inspired utopia called Republic City, We get to meet a brand new cast of characters, We get to see Pro-bending as a new evolution to bending, And this revolution of non-benders vs. benders, All of these in my opinion had great potential in sparking a new era that could be revered in the universe of Avatar. But in its execution and how much time it was given, all of these aspects were half-assed and not fully capitalized at all. ,Lets take the Air-bending, side characters, and this non-bending revolution as examples. So the first book is called Air, so I was expecting air-bending, both as an art, and as a philosophy to be a huge integral part to Korra and her journey in Season 1., And while we do get some exploration into air-bending and its philosophy, it was only prominent in the third episode and the very last episode. Thats it. We only see her attempting to learn air-bending through a single exercise for about one episode, and then we are side-tracked by Amon for the rest of the series. Now the writers could have implement more air-bending in those episodes regardless, but so much was going on that I don’t even entirely blame the writers for not utilizing more air-bending consistently throughout the series. So by the time it reached the last episode, and this happened… I was like, HAH? ,It just came out of nowhere. ,Korra after all of her bending was taken away, just punches the sky and all of a sudden air comes out, and this single handily defeats Amon… That was a really bad scene, it was one of the scene that spoiled the season for me. We don’t even see Korra train that much, we are just expected to believe she is training with Tenzin in the background. Probably I am subconsciously comparing it to ATLA, but the art and mentality that comes with that art plays an integral part in each of ATLA’s seasons. Here, it is more side-tracked by everything that is going on until the very last 10 minutes of the show. Then we got Team Avatar and crew. Sigh, I know Korra is the protagonist and she has to be given the light for her character development, ,but almost all of the other characters feel like cardboard. ,I am going to use Lin Beifong as an example. The only thing I got was she was Toph’s daughter and Tenzin’s ex-girlfriend. She had sparks of potential like Lin leaving the Police force to find her cops captured, but for the most part she is not explored nearly enough. Like why did she agree to continue hosting the Pro-bending match? When she knew the people she was up against? Never explained. Or what about Lin Beifong’s relationship with law enforcement and go further into her belief in the law as an enforcer versus her beliefs as a human ? Barely a scratch. She becomes less stubborn, and mended things with Tenzin, but thats all there was to her. Still, she was a cool chaarcter. And probably the worst part to be affected was The Equalist movement. This actually took alot of the first Season’s time, and rightfully so. But it still suffered from not further showing instead of talking. Yes, we get Tarlok’s police brutality scenes, But before-hand, we barely saw any bender oppressing non-bender scenes. We got like 1 in the very beginning. We need more TTT action against non-benders or a backstory of how bending oppressed people. This would justify the extreme Equalists’ positions, but we don’t see it. Instead I just see rallies against non-benders, without showing bender oppressing them. ,This is totally separate, but the ending, it tanks the finale for me. ,So the writer chose not to reveal the oppression non-benders suffer to justify Equalists and their movement, but instead chose to reveal that Amon and Tarrlok are related and the whole movement was a sham?!?!?!? What triggers me more is that not only was the execution and the # of episodes tanked the quality of Season 1 and its ideas, but the ROMANCE, which is the most unnecessary thing of this show, took front and center. Why is this shit which was absolute crap by the way, seem more important to the show than basically everything else. It was cringe, it was bad, and LOK keep shoving this shit in my face, instead of spending its time elsewhere like with Air-bending or developing individual characters like Beifong or Asami. I am not going to bash the absolute shitshow the romance was in this series more so than I already have, but if you want to see a post on that, here you go: Liem Duong's answer to I think anyone can agree Korra's relationship with Asami wasn't properly set up. So, which character in TLOK do you think had the most chemistry with her? Personally, I'd say Bolin. Anyways, it all comes back to how Nick didn’t provide enough time for all of these ideas LOK had to be developed and fleshed out. So the writers were forced to rush things which in turn just worsen the quality and experience watching LOK. And this isn’t true just for Season 1, its for the whole show across the board. So yeah, Season 1? Half-assed, exciting ideas, but nowhere near the execution and # of episodes needed to make it work. And the romance sucked. 6/10
Which powertrain is better for a hybrid auto, a parallel hybrid (e.g. Toyota) or the serial hybrid (Honda)?
I assume you mean the latest Honda Hybrid system, which they introduced in 2013 (model year 2014 Accord Hybrid). It is called the Intelligent Multi-Mode Drive (i-MMD), or sometimes Sport Hybrid Intelligent Multi-Mode Drive. Explanation of the Honda System,s,: Older Honda systems were pure ,parallel hybrids,. That means that the electric motor drives the same system as the Internal Combustion Engine (ICE), and “assists” its power output. The system was called Integrated Motor Assist (IMA), but it has been phased out. It was also called a “mild” hybrid, as opposed to a “full” hybrid. Toyota managed to convince the public that “full” was better, even though the mileage record of the original “mild” IMA system (2000 Honda Insight, see ,Honda Insight - Wikipedia,) was not surpassed by a “full” Toyota system until 2016. Honda’s current i-MMD system utilizes a small Internal Combustion Engine (ICE), and two electric motor-generators (MG). Most of the time the larger MG propels the car alone. Its electricity comes from the battery and/or the smaller MG driven by the ICE. Since the ICE is not connected to the wheels at all, ,this a serial hybrid,. It is, quite literally, an electric car where the electricity comes from a gas-driven generator. Honda literature says this mode uses an Electronic Continuously Variable Transmission, or eCVT. This is a misnomer. A transmission is a device that controls the relationship between the rpms of the ICE, and of the wheels by changing the gearing somehow. In an i-MMD system in serial mode, there are no gears, no gear ratio, and so no rpm relationship to control. The i-MMD can be driven by the battery alone at any speed. Called EV mode, this is what qualifies it as a “full” hybrid. But all that really means is that it can use stored energy at any speed, not that being “full” makes it better in any way. The i-MMD can also be a ,parallel hybrid,, but only when cruising at highway speeds. A clutch engages the ICE to the wheels in what can only be called a overdrive gear. But it is important to note that there still is nothing at all like a transmission; just a single, fixed gear ratio. Explanation of Toyota’s Hybrid Synergy Drive (HSD): HSD is what is called a ,parallel-serial hybrid,, so it is not a pure parallel system like IMA. Most of the time, a parallel path and a serial path are used simultaneously. Two electric motors and the ICE work together, through a three-way transmission (in the true sense of the word) called a Power Split Device (PSD). A good analogy for the PSD is a baseball bat. A right-handed batter places the left hand below the right, and tries to impart a force onto a ball hitting higher on the bat. To do this, the right hand pushes harder than the left, rotating it and creating a larger force where the balls hits it. The biggest difference in the PSD, is that the right hand is a generator that uses this opposing force to generate electricity, and passes it to another motor behind the ball. It also uses two motor-generators and an ICE, but the ICE is the more powerful unit. So it is a gasoline car that is assisted by electric motors. HSD can be a “full” hybrid, but only at slower speeds. The ICE is still linked to both motors through the PSD, and cannot be disconnected. EV mode is accomplished by having the two motors push against each other (both push the wheels) in such a way that the ICE doesn’t rotate. Using the bat analogy, to bunt the ball a batter might hold the right hand steady, and push the barrel of the bat forward by pulling the left hand back. Which is better? I can only pass along the data I’ve seen. You need to decide. But I’m afraid my opinion will come through. Despite the vast differences, the mileage figures are amazingly similar. Still, the data I’ve seen gives Honda a slight edge. This is complicated by games Toyota plays with features, so that they can advertise better numbers. For example, the 2019 Honda Accord Hybrid gets 48/48/48 mpg (that’s city/highway/combined). Ads for the 2019 Toyota Camry Hybrid say 51/53/52, but that applies only to the stripped-down LE model. It has smaller, narrower wheels which give less traction, and so cause less drag. All other models get 44/47/46. Just don’t believe any claims about which system has more losses. Yes, the i-MMD has to convert energy rotational, to electric, and back again. There are losses in both processes. But using a transmission - even Toyota’s PSD - also means there are losses when rpms are changed. The only mode I have described that nearly eliminates transmission (meaning moving power from one place to another, not using a “transmission”) losses, is Honda’s i-MMD’s overdrive mode. I mentioned that Honda’s i-MMD is an electric with a gas-powered generator, while Toyota’s HSD is a gas-powered car that is assisted by electric motors. Electric cars are typically more powerful at low speeds, while gas cars do better at higher speeds. This holds true for the i-MMD vs. HSD comparison. For similarly-positioned models, the Honda is faster to 60 mph, but the Toyota is faster after that. Both should be very reliable systems, but there isn’t nearly as much data for i-MMD. But it actually is a simpler system, since it lacks anything like a transmission.
What are the best restaurants to try when visiting Gorakhpur, India? What should you try while you're there?
Thanks for A2A. I have seen Gorakhpur changing from a old classic town to a modern city with lot more facilities. Its been more than 25 years that I can sense these changes. We have lot more Good restaurants, Shopping malls, International food brands like Dominos, Pizza hut etc. Talking specifically about restaurants, there are lot more to explore and please you taste buds compared to what we had 10-15 years ago. I will briefly talk about various options where either me or my friends have ever visited. Golghar Road- Sahenshah,(,4.0/5.0,)- In the middle of the city. On Golghar main road, near Mall Chashma Ghar / Bata showroom. Theme based on ,Amitabh Bacchan, movies. You could see few famous pics and dialogues of his movies. You wont get old style menu cards, They would give you a ,tablet, with menu app again themed on sahenshah style. Food quality is good with verity of options. Well dressed staff. Pay by card is also available. President(3.0/5.0),- One of oldest hotel cum restaurant in the city. Just an old style place to have food. Nothing like a theme but you would get verity of choices with good food. Pizza Hut, - I haven’t been there personally. Its not dine in restaurant, Its delivery only(PHD). Cant comment on the quality City Mall Road- Dominos(3.5/5.0),- International food chains are rare in UP east. This is one of the 2 dominos in Gorakhpur. One of the rare dominos with fresh dough preperation, So crust would feel more soft and fresh compared to most of the dominos. Earlier used to be very crowdy, Now you can easily get seats. Moti Mahal Delux(3.5/5.0) ,- Famous food chain of Delhi/ Bangalore. North Indians can please their taste buds on any of MMD branch. Good quality food with good service. One of the best place for All family dinner. Dosa Plaza (3.0/5.0), - Situated in Hotel Clark Grand. The famous dosa chain where you would get verities of dosa. Expensive for a dosa though. Town Hall Road - Singh Biryani (3.0/5.0), - Good taste for biryani lovers. Wont recommend for families as there is no proper seating. You can enjoy reasonably priced good taste biryani sitting outside the restaurant. Cinnamon(3.5/5.0), - Food quality and taste is good. Options are so many. Recommend for family food outing or couples lunch/dinner. There are other restaurants as well- Yellow chilly ( Famous restaurant chain), Royal Darbar ( recent getting popular) and many more. Get a bike and friend and explore the options and trust me you love most of them Royal Darbar Pic Credits - Google Please dont forget to upvote my ans if you already have made plans to visits few on these option. Also this encourages me to write more answers. Edit 1 - Pizza hut is dine in as well. Thanks to Chinmay for correcting me. Rangrezza is another good restaurant for family dinner. Good ambience and good service, this is what foodies comments who have been there. Rangrezza ( Suggestion credits - Chinmay, Pic - Google)
How important is a strong mathematical background in machine learning?
Mathematics is the language that modern machine learning is built on, so trying to do machine learning without knowledge of math is like trying to play classical music without being able to read scores, i.e. not very well. In essence, machine learning is about extracting structure from data: finding the patterns amongst a great deal of noise. Nothing prepares you better for a lifetime of doing machine learning as a deep knowledge of math. In fact, one can turn this question on its head: often students who took my graduate ML class at UMass came to me and marveled at how they finally understood what their linear algebra or calculus or statistics class they took eons ago was trying to teach them! The deeper one gets into a problem, the more math seems necessary to formulate and solve a machine learning task. Let’s consider an example, to make this more concrete. A fundamental challenge for machine learning is how to transfer the results of learning from one setting to another. Humans seem to be able to do this fairly effortlessly, often to a level that befuddles any machine learning approach. I just returned from a trip to Norway and Sweden. I’d never been to either country before my trip. In essence, I had no training data of actually having been in either country. Did that pose a problem. Not an iota. I just applied the basic knowledge of how to get around cities or airports from past experience. We do this as humans as easily as we breathe. Most machine learning approaches, from au courant deep learning to good old fashioned classical Gaussian least squares regression, will choke if the test data (e.g., taking a train from the airport in Stockholm or Oslo to city center) differs from the training data (e.g., prior experience of taking trains from San Francisco airport to the city center). The reason being that the statistics are entirely different. The distribution of features in Sweden or Norway is very different from San Francisco. So, how does one solve the problem of transfer learning? Let’s imagine a very basic idea of computing some aggregate statistics of the source dataset (e.g., for every feature, compute its correlation against all other features) and doing the same for the target dataset. It might be helpful to recall that the source dataset is labeled but the target dataset is not (that is, from our prior experience, we know what the signs mean in San Francisco since we speak English, but we can't interpret the signs in Stockholm or Oslo since we don't speak Swedish or Norwegian). So, we are in essence computing the covariance matrix of the source dataset and the covariance matrix of the target dataset. This matrix summarizes the second order statistics of the data. Under the simplifying assumption that the second order statistics are all that matter, in other words the distribution of features are Gaussian, we can now proceed to find a solution. The source and covariance matrices are going to be different in transfer learning since the data are coming from two different multivariate Gaussian distributions. So, any approach like using Bayesian ML to find a classifier that labels source data will fail in the target domain since the covariances have changed. Even a method like support vector machines, which finds the best hyperplane that separates positive from negative examples in the source domain cannot be applied in the target domain since the data have shifted unpredictably in the space of instances. OK, here’s a simple trick developed in a popular algorithm called CORAL (for correlational alignment). Find the matrix A such that the source covariance ,\Sigma_s, can be transformed into something that matches the target covariance ,\Sigma_t,. In the language of linear algebra, this amounts to solving the optimization problem (pardon the Latex): \min_A \| A^T \Sigma_s A - \Sigma_t\|^2 It goes without saying that without a modicum of training in linear algebra, you can’t follow the “music” of this problem formulation at all, let alone find the solution. So, you hunt down your favorite book in linear algebra and work hard on understanding the basic concepts, at which point you realize that you also need to understand some of the basics of matrix approximation theory, usually not covered in basic linear algebra courses. So, after a while, you understand how CORAL works by doing the necessary background reading in linear algebra. Here’s a pointer to the original CORAL paper, which explains the idea beautifully. [1612.01939] Correlation Alignment for Unsupervised Domain Adaptation Is this enough? No, not if you want to do original research in the field. So, how does one extend the CORAL method. How can one improve on CORAL? You guessed it, the answer lies in learning some more math. I will now introduce you to a new paper that I am going to present next month at the European Conference on Machine Learning (ECML 2018) in September, in the beautiful Irish city of Dublin. https://people.cs.umass.edu/~mahadeva/papers/arxiv-2018-ecml.pdf So, in looking at the solution developed in CORAL, we see that the method in essence in comparing the “distance” between source and target covariance matrices. Much of modern machine learning can be viewed as a search for an appropriate distance metric. Let’s take a different example, the runaway success of the popular deep learning generative adversarial network or GAN. Basically, there are a huge number of variants of GANs, and all of them amount to different ways of measuring the distance between two probability distributions (Shannon-Jensen divergence, Wasserstein divergence, etc.). To measure the distance between two arbitrary objects, one has to understand the mathematical space they live in. What is the space that covariance matrices (which are essentially positive definite matrices) live in? CORAL treats covariance matrices as points in a high dimensional Euclidean space (of dimension equal to the number of degrees of freedom, which is , N \times \frac{N+1}{2} ,. But, this is clearly incorrect. Covariance matrices do not form a vector space. If you subtract two positive definite matrices, they do not yield a new positive definite matrix. Yikes! So, off you go, looking deeper into the geometrical structure of covariance matrices. As it happens, they define a curved space, what mathematicians call a Riemannian manifold. On a Riemannian manifold, like the surface of the Earth, the shortest distance between two points is not a straight line. When I flew direct from San Francisco (Oakland airport) to Stockholm, the Norwegian Airlines flight did something strange. It began flying directly north towards the North pole. Was the pilot drunk? Was the plane being hijacked? No, since the earth is a curved manifold, the shortest path is a geodesic, so going towards the North pole where the longitudes get closer and closer makes sense. So, the closest distance between San Francisco and Stockholm is a big arc, which loops up towards the North pole and then comes down across Greenland to Sweden. Similarly, the shortest path between source and target covariances in our transfer learning problem is not the CORAL computed solution, but rather something far more mathematically elegant. This solution is what I describe in my new ECML 2018 paper, as solving something called the Ricatti equation , A \Sigma_s A = \Sigma_t , over the space of all positive definite matrices A. This is more elegant mathematically because one can now show that the solution is the beautiful geometric mean between the source and target covariance matrices. In other words, the midpoint of the geodesic between source and target. One can go deeper, in fact. What about the pesky assumption that only second order statistics matter? Can we get rid of that? Yes, we can, by incorporating both geometrical and statistical objectives. To incorporate higher order information, we turn to the beautiful trick called maximum mean discrepancy (MMD), which says that the distance between the source and target probability distribution can be measured by the difference between the expected value of some arbitrary function evaluated on the source and target domain (over all such functions). This seems hopeless, but some deeper math (aha!) shows that this idea can be evaluated using something called the kernel trick in machine learning. You hopefully get the idea. As you develop the solution to transfer learning, one gets deeper and deeper into math, and at the end, you write a paper that only a small handful of the cognoscenti in machine learning can ever appreciate. You strut around feeling like a peacock, having published a paper in ECML (or ICML or NIPS etc.), but the sad truth of the matter is that your precious method is now limited to a small handful of ardent researchers who can follow the math in your paper. So, there you have it. Like the great classical masters, from Bach to Beethoven and Schubert, the deeper one gets into listening to their profound music (e.g., the late string quartets of Beethoven), the more one gets into an essentially esoteric realm of classical music, whose beauty can only be appreciated by a small handful of people, whilst the majority of the population will undoubtedly be swaying to the latest pop chart tune. Modern machine learning, thus, follows the path of other fields, like physics, where the more mature it gets, the deeper the knowledge of math needed to “play the game”, so to speak. To build on the geodesic covariance alignment approach described in my paper, and take it to new heights, you need to now bring in the powerful insights of Lie groups, and exploit the fact that the space of positive definite matrices is not just a Riemannian manifold, but in fact a homogeneous space (since it is acted on by a group, namely the set of all invertible matrices). As insight builds upon insight, the math gets deeper and deeper, and so, the work gets more rarified. Where does it all end? At the end of the day, how does one explain such work to the public? When your mother asks you to explain what you are doing, what do you tell her (assuming she’s not a great mathematician already!)? As many scientists and artists have discovered, you end up retreating into a private world, the inner realm of deep satisfaction of having discovered something about the world, something beautiful, but that only you (and perhaps a small number of your colleagues) can appreciate. You can never share it with the most of the remainder of humanity. It’s ultimately a lonely world! That’s the price you pay, the sacrifice that must be made. Is it all worth it? Each of us who makes this journey must make that judgement on his or her own.
Was Daenerys Targaryen always evil and the audience of GoT just didn't want to see it because she started out fighting slavers?
"The stallion who mounts the world will burn no cities now. His khalasar shall trample no nations into dust." "I spoke for you," [Dany] said, anguished. "I saved you." "Saved me?" The Lhazareen woman spat. "Three riders had taken me, not as a man takes a woman but from behind, as a dog takes a bitch. The fourth was in me when you rode past. How then did you save me? I saw my god's house burn, where I had healed good men beyond counting. My home they burned as well, and in the street I saw piles of heads. I saw the head of a baker who made my bread. I saw the head of a boy I had saved from deadeye fever, only three moons past. I heard children crying as the riders drove them off with their whips. Tell me again what you saved." "Your life." Mirri Maz Duur laughed cruelly. "Look to your khal and see what life is worth, when all the rest is gone." This is what Mirri Maz Duur said to Daenerys in the first book and if I remember well it's the same thing she said in the show. I have to be honest, when I first saw that scene, -, in 2011 - I considered MMD the evil witch that deceived the poor Daenerys and therefore she deserved to die (nevertheless I remember it was terrible to hear her screams while she burned). I mean, ,MMD killed her baby… MMD was the evil character,. Years later, after season 5, I rewatched the show for the first time and by that time Daenerys already did things I found problematic so I was more open minded to take in consideration MMD’s POV… that really changed my opinion on what GRRM created. So let's look at the events of the first season from a different POV: MMD lived in a peaceful community when one day a particular strong clan of savage Dotharki attacked her village and that lead into the slaughter of everyone she knew and loved. MMD did witness the carnage firsthand and, most importantly, ,she was also a victim ,of the Dotharki violence. When Daenerys “saved” her she was already a broken soul and rewatching that scene it seems really a bad joke that Daenerys wanted to save a few lhazareen women when the main reason why Drogo decided to massacre this peaceful group of people is that he needed more slaves to trade for a fleet to invade Westeros and give Daenerys a throne that didn't mean anything to the Lhazareen. And there is more: Daenerys “saved” MMD and made her one of her slaves and as such she was bound to see the birth of a new Dothraki khal, ,the great khal of khals who would have united the Dothraki as one horde and used them to conquer the entire world, ,in other words a new savage Dothraki, ,prophesied to slaughter the entire world… the future looked darker with every day that passed. From this point of view I understood why MMD did what she did and she wasn't the evil witch that I believed she was at first. Daenerys, on the other hand, was a foolish girl happy that finally her great love decided to kill in her name and that didn't care what he would do to give her what she wanted. So, I think the fandom was blinded more by the fact that she was a young girl abused at the beginning of the story than by the fact that she started out fighting slaves. There was darkness in her from the start but she looked so innocent and powerless that we, myself included, ignored it at first.
Do you think Daenerys' fiery rampage in Game of Thrones S8E5 was in character?
Short answer: Yes. I think they did enough to signal this progression. I think it’s key to understand though that she “went mad”. If her intention was to destroy the city no matter what, she’d have never stopped and waited. A switch went off in her head and then she burned them all, like her father was planning to do. Some further points on this: The bells signaled her madness. I don’t think there’s really enough in the show to rely on this as something the audience will make sense of, but it’s a recurring theme in the books. I think Dany’s character needs to be understood in terms of righteous cruelty. The first time we see it is when Viserys dies, and we like it because he deserved it. We next see it when Dany burns Mirri Maz Duur to death, and we like it because MMD betrayed her, and because it’s cool that Dany survives the fire and gets dragons. Again and again we see her tendency toward this, so it makes sense in the end that this would be her defining characteristic. The thing about righteous cruelty, as opposed to the other form of evil - sadism - is that it seduces people into thinking they are doing the right thing. In Dany’s mind, it’s not a question of whether she’ll burn people alive with her dragon but rather how many people she must do it to so that she’ll never have to do it again.
What interesting thing did you read today?
India's goal to phase out petrol or diesel powered cars by 2030 has put the spot light on EV's, but Honda motor would rather bet on hybrid solutions as New Delhi enforces the stricter BS 6 emission norms in three years. Honda is planning to introduce hybrid version of the jazz hatchback and city Sedan after 2020. The company has introduced the new hybrid i-MMD for small and midsized cars that are more efficient than the earlier i-DCD technology (currently used in Accord). It has been said that the mileage for i-MMD could be in excess of 25 km per litre.
HOME